YOLOv10 to its genesis: a decadal and comprehensive review of the you only look once (YOLO) series

R Sapkota, R Qureshi, MF Calero, C Badjugar… - arxiv preprint arxiv …, 2024 - arxiv.org
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …

Yolov10 to its genesis: A decadal and comprehensive review of the you only look once series

R Sapkota, R Qureshi, M Flores-Calero… - Available at SSRN …, 2024 - papers.ssrn.com
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …

An efficient pest detection framework with a medium-scale benchmark to increase the agricultural productivity

S Aladhadh, S Habib, M Islam, M Aloraini, M Aladhadh… - Sensors, 2022 - mdpi.com
Insect pests and crop diseases are considered the major problems for agricultural
production, due to the severity and extent of their occurrence causing significant crop losses …

AI-enabled crop management framework for pest detection using visual sensor data

A Khan, SJ Malebary, LM Dang, F Binzagr, HK Song… - Plants, 2024 - mdpi.com
Our research focuses on addressing the challenge of crop diseases and pest infestations in
agriculture by utilizing UAV technology for improved crop monitoring through unmanned …

Application of artificial intelligence and machine learning in agriculture

S Marwaha, CK Deb, MA Haque, S Naha… - … Physiological Tools to …, 2023 - Springer
Artificial intelligence (AI) is the branch of science that deals with the development of
machines to mimic human intelligence. Machine learning (ML) is a subdomain of AI where …

[BOK][B] Translating Physiological Tools to Augment Crop Breeding

HM Mamrutha, G Krishnappa, R Khobra, G Singh… - 2023 - Springer
To ensure food security for the ever-growing population, agricultural production needs to be
increased by 50% by 2050 with the dwindling natural resources. Recently, crop yields are …

[HTML][HTML] Endemic Yucatan Peninsula Plants with Pesticidal Potential: Herbarium-Based Literature Review

N Alonso-Hernández, C Granados-Echegoyen… - Plants, 2024 - mdpi.com
Agricultural pests present a significant challenge to humanity, often managed through
synthetic chemicals that, when misused, can cause irreversible harm to both the …

Potato Beetle Detection with Real-Time and Deep Learning

A Karakan - Processes, 2024 - search.proquest.com
In this study, deep learning methods were used to detect potato beetles (Leptinotarsa
decemlineata) on potato plants. High-resolution images were taken of fields with the help of …

Pest detection system using machine learning techniques

PB Prithvi, F Zahin, SS Anny - 2022 - dspace.bracu.ac.bd
Countries like Bangladesh yield a significant portion of their economy from their agricultural
sector. Agricultural pests, on the other hand, have a significant impact on both agricultural …

Nutrition Monitoring based on Food Image Classification Using Transfer Learning

A Gupta, A Das, MP Karnik… - 2024 4th Asian …, 2024 - ieeexplore.ieee.org
Image classification, which teaches computers to understand and categorize visual input, is
a crucial challenge in computer vision technology. Applications for this job are numerous …